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Littérature scientifique sur le sujet « Instant scaling »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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Articles de revues sur le sujet "Instant scaling"

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Griffin, Leigh, Kieran Ryan, Eamonn de Leastar, and Dmitri Botvich. "Scaling Instant Messaging Communication Services." International Journal of Ambient Computing and Intelligence 4, no. 3 (2012): 1–19. http://dx.doi.org/10.4018/jaci.2012070101.

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Designing innovative communications services that scale to facilitate potential new usage patterns can pose significant challenges. This is particularly the case if these services are to be delivered over existing protocols and interoperate with legacy services. This work explores design choices for such a service: large scale message delivery to existing Instant Messaging users. In particular the authors explore message throughput, accuracy and server load for several alternative implementation strategies. These strategies focus on approaches to concurrency, with best practice in current and

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Lu, Baotong, Xiangpeng Hao, Tianzheng Wang, and Eric Lo. "Scaling Dynamic Hash Tables on Real Persistent Memory." ACM SIGMOD Record 50, no. 1 (2021): 87–94. http://dx.doi.org/10.1145/3471485.3471506.

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Byte-addressable persistent memory (PM) brings hash tables the potential of low latency, cheap persistence and instant recovery. The recent advent of Intel Optane DC Persistent Memory Modules (DCPMM) further accelerates this trend. Many new hash table designs have been proposed, but most of them were based on emulation and perform sub-optimally on real PM. They were also piecewise and partial solutions that side-stepped many important properties, in particular good scalability, high load factor and instant recovery.

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Chen, Guanxiong, Xiaopu Han, and Binghong Wang. "Multi-level scaling properties of instant-message communications." Physics Procedia 3, no. 5 (2010): 1897–905. http://dx.doi.org/10.1016/j.phpro.2010.07.034.

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HARRISON, GLENN W. "Field experiments and public policy: festina lente." Behavioural Public Policy 5, no. 1 (2020): 117–24. http://dx.doi.org/10.1017/bpp.2020.28.

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AbstractThe current state of the art in field experiments does not give me any confidence that we should be assuming that we have anything worth scaling, assuming we really care about the expected welfare of those about to receive the instant intervention. At the very least, we should be honest and explicit about the need for strong priors about the welfare effects of changes in averages of observables to warrant scaling. What we need is a healthy dose of theory and the implied econometrics.

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WANG, K. L., and P. KHALILI AMIRI. "NONVOLATILE SPINTRONICS: PERSPECTIVES ON INSTANT-ON NONVOLATILE NANOELECTRONIC SYSTEMS." SPIN 02, no. 02 (2012): 1250009. http://dx.doi.org/10.1142/s2010324712500099.

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Instant-on nonvolatile electronics, which can be powered on/off instantaneously without the loss of information, represents a new and emerging paradigm in electronics. Nonvolatile circuits consisting of volatile CMOS, combined with nonvolatile nanoscale magnetic memory, can make electronics nonvolatile at the gate, circuit and system levels. When high speed magnetic memory is embedded in CMOS logic circuits, it may help resolve the two major challenges faced in continuing CMOS scaling: Power dissipation and variability of devices. We will give a brief overview of the current challenges of CMOS

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Tesse, R., C. Hernalsteens, E. Gnacadja, E. Ramoisiaux, N. Pauly, and M. Vanwelde. "Achromatic gantry design using fixed-field spiral combined-function magnets." Journal of Physics: Conference Series 2420, no. 1 (2023): 012096. http://dx.doi.org/10.1088/1742-6596/2420/1/012096.

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Abstract Arc-therapy and flash therapy are promising proton therapy treatment modalities as they enable further sparing of the healthy tissues surrounding the tumor site. They impose strong constraints on the beam delivery system and rotating gantry structure, in particular in providing high dose rate and fast energy scanning. Fixed-field achromatic transport lattices potentially satisfy both constraints in allowing instant energy modulation and sufficient transmission efficiency while providing a compact footprint. The presented design study uses fixed-field magnets with spiral edges respecti

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Tchalenko, John, and R. Chris Miall. "Auguste Rodin Draws Blind: An Art and Psychology Study." Leonardo 52, no. 5 (2019): 483–91. http://dx.doi.org/10.1162/leon_a_01553.

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Late in his life Rodin produced many thousand “instant drawings.” He asked models to make natural energetic movements, and he would draw them at high speed without looking at his hand or paper. To help understand his “blind drawing” process, the authors tracked the eye and hand movements of art students while they drew blind, copying complex lines presented to them as static images. The study found that line shape was correctly reproduced, but scaling could show major deficiencies not seen in Rodin's sketches. The authors propose that Rodin's direct vision-to-motor strategy, coupled with his h

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Rokhoev, S. A., L. N. Solomin, and D. A. Starchik. "Template of instant centers of rotation developed for the knee joint (experimental study)." Genij Ortopedii 28, no. 4 (2022): 554–58. http://dx.doi.org/10.18019/1028-4427-2022-28-4-554-558.

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Relevance There are data in the literature describing the trajectory of displaced center of rotation of the knee joint. However, data on the exact location of instantaneous centers of rotation at various angles of the knee flexion are not available. Objective To identify the localization of instantaneous centers of rotation at various angles of the knee flexion and present the results in the form of a template. Material and methods The bench testing was performed using a specially developed device that provides fixation of the anatomic cadaver preparation of the lower extremity. The device mad

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Fayolle, M., D. Dirkx, P. N. A. M. Visser, and V. Lainey. "Analytical framework for mutual approximations." Astronomy & Astrophysics 652 (August 2021): A93. http://dx.doi.org/10.1051/0004-6361/202141261.

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Context. The apparent close encounters of two satellites in the plane of the sky, called mutual approximations, have been suggested as a different type of astrometric observation to refine the moons’ ephemerides. The main observables are then the central instants of the close encounters, which have the advantage of being free of any scaling and orientation errors. However, no analytical formulation is available yet for the observation partials of these central instants, leaving numerical approaches or alternative observables (i.e. derivatives of the apparent distance instead of central instant

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Sandeep Konakanchi. "Next-Generation Low-Latency Architectures for Real-Time AI-Driven Cloud Services." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 2307–18. https://doi.org/10.32628/cseit2410612429.

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The rapid evolution of AI-driven applications has created a pressing demand for next-generation low-latency cloud architectures capable of delivering real-time performance. This article explores innovative architectural designs and technologies that push the boundaries of traditional cloud systems to meet the stringent requirements of latency-sensitive AI services. A holistic framework that minimizes latency while maximizing processing efficiency and scalability by integrating edge computing, distributed data processing, adaptive load balancing, and dynamic scaling. The article focuses on opti

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Livres sur le sujet "Instant scaling"

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Inc, ebrary, ed. Scalix: Linux administrator's guide : install, configure, and administer your Scalix Collaboration Platform email and groupware server. Packt, 2008.

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Feilner, Markus. Scalix: Install, Configure, and Administer Your Scalix Collaboration Platform Email and Groupware Server. Packt Publishing, Limited, 2008.

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Chapitres de livres sur le sujet "Instant scaling"

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Ge, Hongwu, Yonghua Huo, Zhihao Wang, Ping Xie, and Tongyan Wei. "VNF Instance Dynamic Scaling Strategy Based on LSTM." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_39.

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Domingo, Carlos, Ricard Gavaldà, and Osamu Watanabe. "Adaptive Sampling Methods for Scaling up Knowledge Discovery Algorithms." In Instance Selection and Construction for Data Mining. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3359-4_8.

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Li, Chuan, Xiao Teng, Yan Ding, et al. "Instance-Level Scaling and Dynamic Margin-Alignment Knowledge Distillation." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8795-1_12.

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Jagannadha Rao, D. B., Yanamala Harinatha Reddy, and Vijayakumar Polepally. "Scaling-Up Jenkins with a Single Node Instance in DevOps." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0143-1_24.

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Kim, Mijoo, and Junseok Kwon. "Uncertainty Calibration with Energy Based Instance-Wise Scaling in the Wild Dataset." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72952-2_14.

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de Haro-García, Aida, Javier Pérez-Rodríguez, and Nicolás García-Pedrajas. "A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25274-7_7.

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Xu, Ying, Kiran Raja, Raghavendra Ramachandra, and Christoph Busch. "Adversarial Attacks on Face Recognition Systems." In Handbook of Digital Face Manipulation and Detection. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_7.

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AbstractFace recognition has been widely used for identity verification both in supervised and unsupervised access control applications. The advancement in deep neural networks has opened up the possibility of scaling it to multiple applications. Despite the improvement in performance, deep network-based Face Recognition Systems (FRS) are not well prepared against adversarial attacks at the deployment level. The output performance of such FRS can be drastically impacted simply by changing the trained parameters, for instance, by changing the number of layers, subnetworks, loss and activation f

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Baake, Jonathan, and Zhenmin Tao. "A Cost Modeling Framework for Modular Battery Energy Storage Systems." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89444-2_35.

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Abstract This paper presents a cost modeling framework for battery systems. Based on findings in battery cost modeling literature, there is a need for scalable, systematic frameworks to model cost. The framework in this paper, which is developed with a systems approach in mind, incorporates parametric cost models that consider scaling in component rating, future cost prediction and economies of scale with a limited set of tunable parameters per component. This framework is employed to construct an instance of a novel battery architecture, the module level converter topology, in a scalable way

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Walker, David J. F., Eric R. Szmuc, and Andrew D. Ellington. "Organizing Charge Flow with DNA." In Natural Computing Series. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9891-1_8.

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AbstractThe seminal recognition by Ned Seeman that DNA could be programmed via base-pairing to form higher order structures is well known. What may have been partially forgotten is one of Dr. Seeman’s strong motivations for forming precise and programmable nanostructures was to create nanoelectronic devices. This motivation is particularly apt given that modern electronic devices require precision positioning of conductive elements to modulate and control electronic properties, and that such positioning is inherently limited by the scaling of photoresist technologies: DNA may literally be one

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Ntalaperas, Dimitris, Iosif Angelidis, Giorgos Vafeiadis, and Danai Vergeti. "A Decision-Support System for the Digitization of Circular Supply Chains." In New Business Models for the Reuse of Secondary Resources from WEEEs. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74886-9_8.

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AbstractAs it has been already explained, it is very important for circular economies to minimize the wasted resources, as well as maximize the utilization value of the existing ones. To that end, experts can evaluate the materials and give an accurate estimation for both aspects. In that case, one might wonder, why is a decision support system employing machine learning necessary? While a fully automated machine learning model rarely surpasses a human’s ability in such tasks, there are several advantages in employing one. For starters, human experts will be more expensive to employ, rather th

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Actes de conférences sur le sujet "Instant scaling"

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Brady, Michael P., Donovan N. Leonard, James R. Keiser, Ercan Cakmak, and Lysle E. Whitmer. "Degradation of Components after Exposure in a Biomass Pyrolysis System." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13446.

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Abstract X-ray diffraction (XRD), electron probe microanalysis (EPMA), and scanning transmission electron microscopy (STEM) with focused ion beam (FIB) lift-out sample preparation techniques were used to study corrosion products in a 304L (UNS30403) stainless steel fluidized-bed reactor segment from Iowa State University’s Pyrolysis Process Development Unit Facility (PPDU). This reactor segment is particularly valuable because a detailed history of operation time, temperature, and biomass feedstock was available. As previously reported for a range of stainless steel pyrolysis-related equipment

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Almajnouni, A. D., and A. E. Jaffer. "Monitoring Microbiological Activity in a Wastewater System Using Ultraviolet Radiation as an Alternative to Chlorine Gas." In CORROSION 2003. NACE International, 2003. https://doi.org/10.5006/c2003-03067.

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Abstract The current practice of using chlorine gas for the disinfection of our wastewater effluent plants possesses several safety and environmental concerns. In an effort to eliminate these concerns, the Company standard has been revised to discourage the use of chlorine gas in wastewater facilities and to evaluate other alternatives. The objectives of this pilot plant study are to investigate whether the use of ultraviolet (UV) radiation is an acceptable alternative to chlorine gas or sodium hypochlorite disinfection systems and to monitor microbiological activities during the test period t

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Griffin, Leigh, Kieran Ryan, Eamonn de Leastar, and Dmitri Botvich. "Scaling Instant Messaging communication services: A comparison of blocking and non-blocking techniques." In 2011 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2011. http://dx.doi.org/10.1109/iscc.2011.5983895.

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Tiralap, Aniwat, and Choon S. Tan. "Reduced-Order Model of Aero-Thermal-Mechanical Interactions in Ultra High-Speed Micro Gas Turbines." In ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-101838.

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Abstract Ultra high-speed micro gas turbine engines developed for high performance could experience substantial thermal-induced effects on engine operation due to high temperature gradients relative to those in conventional large gas turbine engines. A reduced-order model for quantifying thermal-induced differential expansion of the shaft-bearing housing system is developed based on insights obtained from unsteady computations. The key controlling non-dimensional parameters characterizing the aerothermal-mechanical interaction and response are identified using the reduced-order model that yiel

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Papadopoulos, Dim P., Ethan Weber, and Antonio Torralba. "Scaling up instance annotation via label propagation." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.01508.

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Morais, Fabio Jorge Almeida, Raquel Lopes, and Francisco Brasileiro. "Instance Type Selection in Proactive Horizontal Auto-Scaling." In 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 2016. http://dx.doi.org/10.1109/cloudcom.2016.0031.

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Montazery, Mojtaba, and Nic Wilson. "Rescale-Invariant SVM for Binary Classification." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/348.

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Support Vector Machines (SVM) are among the most well-known machine learning methods, with broad use in different scientific areas. However, one necessary pre-processing phase for SVM is normalization (scaling) of features, since SVM is not invariant to the scales of the features’ spaces, i.e., different ways of scaling may lead to different results. We define a more robust decision-making approach for binary classification, in which one sample strongly belongs to a class if it belongs to that class for all possible rescalings of features. We derive a way of characterising the approach for bin

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McNamara, Luke J., Jacob P. Fischer, Marta Kernan, and James L. Rutledge. "Scaling Flat Plate Overall Effectiveness Measurements." In ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-81826.

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Abstract Low temperature experiments are often performed on models of cooled turbine components in order to predict the temperature of the actual turbine component at engine conditions. Designing the scaled experiment properly takes care beyond simply matching the freestream Reynolds number. For instance, it is well known that for the nondimensional surface temperature distribution, or overall effectiveness, to match that at engine conditions, the Biot number of the experimental model must match that of the engine component. Somewhat less clear is the method by which one must scale the coolant

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Ali Awla, Mohammed, Sadoon Azizi, and Ayshe Rashidi. "Adaptive Resource Scaling Algorithm for Serverless Computing Applications." In The 3rd International Conference on Engineering and Innovative Technology. Salahaddin University-Erbil, 2025. https://doi.org/10.31972/iceit2024.050.

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Serverless computing has transformed cloud-based and event-driven applications by introducing the Function-as-a-Service (FaaS) model. This model offers key benefits, including greater abstraction from underlying infrastructure, simplified management, flexible pay-as-you-go pricing, and automatic scaling and resource optimization. However, managing resources effectively in serverless environments remains challenging due to the inherent variability and unpredictability of workload demands. This paper introduces an Adaptive Resource Scaling Algorithm (ARSA) tailored for serverless applications. A

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Wylde, Jonathan J., and Alexander R. Thornton. "Calcite Scale Mitigation in a Very Low Watercut, Low Salinity, HPHT Environment: Lessons Learned in Surveillance, Mitigation and Scale Inhibitor Performance Monitoring for an Onshore Field." In SPE International Conference on Oilfield Chemistry. SPE, 2023. http://dx.doi.org/10.2118/213808-ms.

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Abstract This prolific field has enjoyed mineral scale free production for many years but has lately experienced a series of unexpected (and harsh!) calcium carbonate scaling events. Well watercuts are barely measurable yet mineral scale deposits accumulate rapidly within wellhead chokes and flowlines. This paper describes the scaling experience and the challenges of mitigation in an extraordinarily low water cut environment. A detailed analysis of the scaling experience is presented: plant layout, scaling locations, scale surveillance and monitoring programs, laboratory testing, product selec

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Rapports d'organisations sur le sujet "Instant scaling"

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London, Jonathan D. Adoption, Adaption, and the Iterative Challenges of Scaling up in Vietnam: Policy Entrepreneurship and System Coherence in a Major Pedagogical Reform. Research on Improving Systems of Education (RISE), 2023. http://dx.doi.org/10.35489/bsg-rise-misc_2023/11.

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Đặng Tự Ân played a pivotal role in the genesis, adoption, and diffusion of pedagogical and curricular reforms that are transforming teaching and learning in the Socialist Republic of Vietnam. His is a fascinating story of a career that began with the paralyzing disappointment of being assigned to study in a seemingly lowly teacher training college only to culminate, decades later, in his central role in the research, design, piloting, and scaling up of a reform that, despite numerous difficulties, would shape the most far-reaching and progressive curricular reforms in Vietnam’s long education

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